Academic literature on the topic 'The Magic Formula'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'The Magic Formula.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "The Magic Formula"
Hopkins, Sue, and Moyra Baldwin. "Magic formula?" Nursing Standard 13, no. 44 (July 21, 1999): 23. http://dx.doi.org/10.7748/ns.13.44.23.s41.
Full textMcArdle, Kathy, Fintan O'Toole, and Ulf Dantanus. "No Magic Formula?" Irish Review (1986-), no. 5 (1988): 135. http://dx.doi.org/10.2307/29735402.
Full textMurdoch, Steven. "No magic formula." Index on Censorship 42, no. 2 (June 2013): 136–39. http://dx.doi.org/10.1177/0306422013491368.
Full textSaputra, Heru S. P. "Formula Dan Ekspresi Formulaik: Aspek Kelisanan Mantra Dalam Pertunjukan Reog." ATAVISME 13, no. 2 (December 31, 2010): 161–74. http://dx.doi.org/10.24257/atavisme.v13i2.128.161-174.
Full textUko, Livinus U., and Terry L. Barron. "A generalization of Trenkler’s magic cubes formula." Recreational Mathematics Magazine 4, no. 8 (December 20, 2017): 39–45. http://dx.doi.org/10.1515/rmm-2017-0019.
Full textJeyanthi, P., and K. Jeya Daisy. "Zk-Magic labeling of subdivision graphs." Discrete Mathematics, Algorithms and Applications 08, no. 03 (August 2016): 1650046. http://dx.doi.org/10.1142/s1793830916500464.
Full textFoster, Carl. "Is There a Magic Formula?" International Journal of Sports Physiology and Performance 6, no. 1 (March 2011): 1. http://dx.doi.org/10.1123/ijspp.6.1.1.
Full textPacejka, Hans B., and Egbert Bakker. "THE MAGIC FORMULA TYRE MODEL." Vehicle System Dynamics 21, sup001 (January 1992): 1–18. http://dx.doi.org/10.1080/00423119208969994.
Full textLópez, A., P. Vélez, and C. Moriano. "Approximations to the magic formula." International Journal of Automotive Technology 11, no. 2 (April 2010): 155–66. http://dx.doi.org/10.1007/s12239-010-0021-5.
Full textManjunatha, H. C., N. Sowmya, N. Manjunath, and L. Seenappa. "Investigations on the superheavy nuclei with magic number of neutrons and protons." International Journal of Modern Physics E 29, no. 05 (May 2020): 2050028. http://dx.doi.org/10.1142/s0218301320500287.
Full textDissertations / Theses on the topic "The Magic Formula"
Sjöbeck, Erik, and Joel Verngren. "Magic Formula has its magic and Momentum has its moments. : -A study on magic formula and momentum on the Swedish stock market." Thesis, Linnéuniversitetet, Institutionen för ekonomistyrning och logistik (ELO), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-85562.
Full textHarvey, Janet A. "No magic formula : marketing a marginal school." Thesis, Loughborough University, 1996. https://dspace.lboro.ac.uk/2134/7422.
Full textKer-Fox, Jason G. "Magic formula optimisation in the South African Market." Master's thesis, University of Cape Town, 2017. http://hdl.handle.net/11427/25365.
Full textEkqvist, Magnus, and Robin Steen. "En magisk Formel? : Magic Formula på den europeiska marknaden." Thesis, Linköpings universitet, Företagsekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148309.
Full textBackground: The efficient market hypothesis is a widely spread concept throughout the financial sphere, but despite of its central roll it have had to withstand a lot of criticism. Anomalies have been identified which are a criticism against the markets efficiency. The interest of investment strategies has grown as of the emergence of the anomalies. Is it possible to generate abnormal returns through a pre-determined strategy, where the market inefficiency is exploited? We therefore find it interesting to study Greenblatt’s (2010) Magic Formula and if it is possible to generate abnormal returns by implementing the investment strategy. Purpose: The purpose of this study is to analyze whether the investment strategy Magic Formula can generate abnormal returns compared with the global stock market, and if it is possible to identify any performance differences between the European stock markets. Furthermore, the study aims to analyze how the re-balancing frequency and the time period effects returns from the Magic Formula. Methodology: To implement the study we have used a quantitative strategy with a deductive design. We have implemented a time series analysis where portfolios have been constructed and analyzed based on its return and risk. The results have been statistically tested through pairwise t-tests and regressions. The study is conducted on the European market from 2007-04-01 to 2017-04-01. Conclusion: 14 of the 18 Magic Formula portfolios have performed worse than the benchmark, according to annual average return and total return. Three of the 14 portfolios have had a significant lower return. The financial crisis affected the results greatly. If we excluded this time period only 11 portfolios performed worse, however without statistical support behind the results. Our results also suggest that a less frequent re-balancing of the portfolio generates higher return than a more frequent re-balancing.
Zeidler, Rodolfo Gunther Dias. "Eficiência da magic formula de value investing no mercado brasileiro." reponame:Repositório Institucional do FGV, 2014. http://hdl.handle.net/10438/12099.
Full textApproved for entry into archive by JOANA MARTORINI (joana.martorini@fgv.br) on 2014-10-14T12:55:20Z (GMT) No. of bitstreams: 1 Dissertação_RodolfoZeidler_MPFE_27.09.2014.pdf: 1031393 bytes, checksum: f0f0d7d38e2df5bf53a35f847db68555 (MD5)
Made available in DSpace on 2014-10-14T13:09:41Z (GMT). No. of bitstreams: 1 Dissertação_RodolfoZeidler_MPFE_27.09.2014.pdf: 1031393 bytes, checksum: f0f0d7d38e2df5bf53a35f847db68555 (MD5) Previous issue date: 2014-10-13
O objetivo deste trabalho é realizar procedimento de back-test da Magic Formula na Bovespa, reunindo evidências sobre violações da Hipótese do Mercado Eficiente no mercado brasileiro. Desenvolvida por Joel Greenblatt, a Magic Formula é uma metodologia de formação de carteiras que consiste em escolher ações com altos ROICs e Earnings Yields, seguindo a filosofia de Value Investing. Diversas carteiras foram montadas no período de dezembro de 2002 a maio de 2014 utilizando diferentes combinações de número de ativos por carteira e períodos de permanência. Todas as carteiras, independentemente do número de ativos ou período de permanência, apresentaram retornos superiores ao Ibovespa. As diferenças entre os CAGRs das carteiras e o do Ibovespa foram significativas, sendo que a carteira com pior desempenho apresentou CAGR de 27,7% contra 14,1% do Ibovespa. As carteiras também obtiveram resultados positivos após serem ajustadas pelo risco. A pior razão retorno-volatilidade foi de 1,2, comparado a 0,6 do Ibovespa. As carteiras com pior pontuação também apresentaram bons resultados na maioria dos cenários, contrariando as expectativas iniciais e os resultados observados em outros trabalhos. Adicionalmente foram realizadas simulações para diversos períodos de 5 anos com objetivo de analisar a robustez dos resultados. Todas as carteiras apresentaram CAGR maior que o do Ibovespa em todos os períodos simulados, independentemente do número de ativos incluídos ou dos períodos de permanência. Estes resultados indicam ser possível alcançar retornos acima do mercado no Brasil utilizando apenas dados públicos históricos. Esta é uma violação da forma fraca da Hipótese do Mercado Eficiente.
The main purpose of this work is to back-test the Magic Formula in the Bovespa Stock Exchange, gathering evidences of violations of the Efficient Market Hypothesis in the Brazilian market. The Magic Formula was developed by Joel Greenblatt and consists in a methodology for stock picking that creates portfolios of stocks with high ROICs and high Earnings Yield, following the Value Investing philosophy. Many portfolios were created in the period between December 2002 and May 2014 combining different number of assets per portfolio and different holding periods. All the portfolios, independently of their number of assets or holding periods, presented returns higher than Ibovespa. The differences between the CAGR from the portfolios and from the Ibovespa were significant, the worst performance portfolio presenting CAGR of 27,7%, as compared with 14,1% of Ibovespa. The portfolios also held positive results after being adjusted for risk. The worst return-volatility ratio was 1.2, as compared to 0.6 from Ibovespa. The portfolios containing the assets with the lowest scores also presented good results in the majority of the scenarios, contradicting the initial expectations and the results observed in other works. In addition, simulations were performed for various 5-year periods aiming to check if the results were robust. All the portfolios presented higher CAGR than Ibovespa in all the simulated periods, independently of the number of assets included in the portfolio or the holding period. These results indicate that it is possible to reach above-market returns using historical public data in Brazil. This is a violation of the Efficient Market Hypothesis in its weak form.
Hammarling, Stefan, and Henrik Färdig. "Värdeinvesteringar på Stockholmsbörsen : En tillbakablickande studie av The Magic Formula ochBenjamin Grahams senaste strategi." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-301112.
Full textAguz, Josef, and Sebastian Gulin. "Magiska aktieportföljer på den svenska marknaden : en undersökning av the Magic Formula på Stockholmsbörsen." Thesis, Uppsala universitet, Nationalekonomiska institutionen, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-226709.
Full textMilane, Leonardo Pelae. "Teste de eficiência da magic formula de value investing para o mercado brasileiro de ações." reponame:Repositório Institucional do FGV, 2016. http://hdl.handle.net/10438/15280.
Full textApproved for entry into archive by Renata de Souza Nascimento (renata.souza@fgv.br) on 2016-02-15T21:55:58Z (GMT) No. of bitstreams: 1 Tese - Leonardo Milane - Magic Formula.pdf: 348511 bytes, checksum: 91d8cd74adea7ad467c334e5d332aeb4 (MD5)
Made available in DSpace on 2016-02-16T11:16:35Z (GMT). No. of bitstreams: 1 Tese - Leonardo Milane - Magic Formula.pdf: 348511 bytes, checksum: 91d8cd74adea7ad467c334e5d332aeb4 (MD5) Previous issue date: 2016-02-04
The main purpose of this work is to back-test the Magic Formula in the IBX- 100 index, in order to gather evidence of effectiveness of the respective methodology in the selection of the best stocks and portfolios that beat the IBX-100 in the long run. The Magic Formula was developed by Joel Greenblatt and consists in a methodology for stock picking that creates portfolios of stocks with high ROICs and high Earnings Yield, following the Value Investing philosophy. Many portfolios were created in the period between January 2000 and June 2015 combining different number of stocks per portfolio and different holding periods. Some portfolios did beat the market index, while some did not. Portfolios with a higher number of stocks and longer holding periods seem to perform better than portfolio with fewer stocks and shorter holding periods. The portfolio with 10 stocks, holding period of 1 year, showed the highest CAGR among all portfolios (17,77%), surpassing the IBX-100 CAGR of 13,17% in the same period, even risk-adjusting. Regardless the holding period and the number of stocks, all portfolios presented lower systematic risk than the IBX-100 index (all betas were significant and lower than 1). On the other hand, all alphas were low, rarely significant, suggesting that the active portfolio management that follows the Magic Formula criteria did not add substantial higher returns when compared to market returns.
O objetivo desse trabalho é realizar um procedimento de back-test da Magic Formula no IBX-100, a fim de reunir evidencias sobre a eficiência de tal metodologia no processo de seleção das melhores ações e formação de carteiras que superem o desempenho do IBX-100 no longo prazo. Desenvolvida por Joel Greenblatt, a Magic Formula é uma metodologia de formação de carteiras que consiste em escolher ações com altos ROICs e Earnings Yields, seguindo a filosofia de Value Investing. Diversas carteiras foram montadas no período de janeiro de 2000 a junho de 2015 utilizando diferentes combinações de número de ativos por carteira e períodos de permanência. Nem todas as carteiras apresentaram retornos superiores ao índice de mercado. Aparentemente, as carteiras com mais ações e períodos de permanência mais longos apresentam desempenho superior às carteiras menores e com rotatividade maior (períodos de permanência mais curtos). A carteira de 10 ações, com período de permanência de 1 ano, apresentou o maior CAGR dentre todas as outras (17,77%), superando o CAGR de 13,17% do IBX-100 no mesmo período. Esse resultado foi superior mesmo quando ajustado ao risco. Independentemente do período de permanência e número de ações, todas as carteiras apresentaram riscos sistemáticos menores do que o índice IBX-100 (todos os betas foram significativos e menores do que 1). Por outro lado, os alfas das carteiras foram muito baixos e, raramente, significativos, sugerindo que a gestão ativa de acordo com os critérios da Magic Formula não adiciona retornos substancialmente maiores do que o retorno relacionado à variações de mercado.
Nordström, Daniel, and Sofia Lindh. "Magic Formula på den svenska aktiemarknaden : Kan en värdeinvesteringsstrategi generera abnormal avkastning på lång sikt?" Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414789.
Full textWidz, Fredrik. "Kan Magic Formula generera Alpha på den Svenska aktiemarknaden efter kontroll för marknadsrisk, företagsstorlek och värdefaktor?" Thesis, Uppsala universitet, Nationalekonomiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-435843.
Full textBooks on the topic "The Magic Formula"
Arant, Gene W. The magic formula for patent protection. Los Angeles: G.W. Arant, 1993.
Find full textEhrke, Michael, and Michael Ehrke. Export-led growth: Central European experiences -- magic formula for the Western Balkans? Belgrade: Friedrich Ebert Foundation, 2011.
Find full textMetzger, Richard. Book of lies: The disinformation guide to magick and the occult (being an alchemical formula to rip a hole in the fabric of reality). San Francisco: Disinformation Co, 2014.
Find full textMartin's magic formula for getting the right job: 1 - 5 + 10 + 15 + 20 = the right job. New York: St. Martin's Press, 1987.
Find full textWallis, Budge E. A. Egyptian magic: A history of ancient Egyptian magical practices including amulets, names, spells, enchantments, figures, formulae, supernatural ceremonies, and words of power. New York: Bell Pub. Co., 1991.
Find full textPolanco, Horacio. Recetas mágicas: Para resolver sus problemas. México, D.F: Grupo Editorial Tomo, 2005.
Find full textAstori, Roberta. Formule magiche: Invocazioni, giuramenti, litanie, legature, gesti rituali, filtri, incantesimi, lapidari dall'antichità al Medioevo. Milano: Mimesis, 2000.
Find full textBook chapters on the topic "The Magic Formula"
Dmytryk, Edward, Jean Porter Dmytryk, and Paul Thompson. "The Magic Formula." In On Screen Acting, 75–84. New York: Routledge, Taylor & Francis Group, 2019. |: Routledge, 2018. http://dx.doi.org/10.4324/9780429506062-8.
Full textBhatt, Aditya H., and Prasad S. Shirodkar. "Lateral Force Modelling Using Magic Formula Tire Model." In Proceedings of International Conference on Intelligent Manufacturing and Automation, 753–61. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4485-9_74.
Full textTikk, Eneken. "National Cybersecurity Legislation: Is There a Magic Formula?" In Cybersecurity Best Practices, 615–33. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-21655-9_42.
Full textSpaeth, Hans-Joachim. "Eco-Technique—Magic Formula for Reclaiming Desertified Semiarid Crop Land." In Physics of desertification, 127–40. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4388-9_11.
Full textKong, Jinhyung, Jungyun Kim, Ho-Young Kang, and Chan-Jung Kim. "Slip Analysis on a Non-holonomic Continuously Variable Transmission Using Magic Formula." In Lecture Notes in Electrical Engineering, 1003–13. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69814-4_96.
Full textLuo, Min. "Case Study of Magic Formula Based on Value Investment in Chinese A-shares Market." In Advances in Intelligent Systems and Computing, 177–94. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02116-0_22.
Full textLinder, Wolf, and Sean Mueller. "Building a Multicultural Society by Political Integration." In Swiss Democracy, 9–58. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63266-3_2.
Full textBourguignon, Jean-Pierre. "The “magic” of Weitzenböck formulas." In Variational Methods, 251–71. Boston, MA: Birkhäuser Boston, 1990. http://dx.doi.org/10.1007/978-1-4757-1080-9_17.
Full textArbab, Farhad. "Puff, The Magic Protocol." In Formal Modeling: Actors, Open Systems, Biological Systems, 169–206. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24933-4_9.
Full textZeidler, Eberhard. "Rigorous Finite-Dimensional Magic Formulas of Quantum Field Theory." In Quantum Field Theory I: Basics in Mathematics and Physics, 327–498. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-34764-4_8.
Full textConference papers on the topic "The Magic Formula"
Hicks, Joyce. "Looking for the magic formula." In the 35th annual ACM SIGUCCS conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1294046.1294086.
Full textBoyle, Sara. "Pacejka Magic Formula Tire Model Parser." In 2019 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2019. http://dx.doi.org/10.1109/csci49370.2019.00099.
Full textBhoraskar, Akshay, and P. Sakthivel. "A review and a comparison of Dugoff and modified Dugoff formula with Magic formula." In 2017 International Conference on Nascent Technologies in Engineering (ICNTE). IEEE, 2017. http://dx.doi.org/10.1109/icnte.2017.7947898.
Full textSchuring, Dieterich J., Wolfgang Pelz, and Marion G. Pottinger. "The BNPS Model - An Automated Implementation of the “Magic Formula” Concept." In International Pacific Conference On Automotive Engineering. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1993. http://dx.doi.org/10.4271/931909.
Full textZhang, Kaidi, Yupeng Duan, Xiaobo Yang, James Yang, and Yunqing Zhang. "Determination of Magic Formula Tyre Model Parameters Using Homotopy Optimization Approach." In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2020. http://dx.doi.org/10.4271/2020-01-0763.
Full textBas¸lamıs¸lı, S. C¸ag˘lar, and Selim Solmaz. "Construction of a Rational Tire Model for High Fidelity Vehicle Dynamics Simulation Under Extreme Driving and Environmental Conditions." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-24487.
Full textMohamad, Naser, and Kambiz Farhang. "A Vibration Model of a Suspension-Tire System." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57571.
Full textNguyen, Bao-Huy, Dzung Nguyen, Vo-Duy Thanh, and C. Ta Minh. "An EMR of Tire-Road Interaction Based-On "Magic Formula" for Modeling of Electric Vehicles." In 2015 IEEE Vehicle Power and Propulsion Conference (VPPC). IEEE, 2015. http://dx.doi.org/10.1109/vppc.2015.7352894.
Full textSaunders, Amanda, Darris White, and Marc Compere. "Estimating Pacejka (PAC2002) Tire Coefficients for Pneumatic Tires on Soft Soils With Application to BAJA SAE Vehicles." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10682.
Full textLong, Chen, and Huang Chen. "Comparative Study between the Magic Formula and the Neural Network Tire Model Based on Genetic Algorithm." In 2010 Third International Symposium on Intelligent Information Technology and Security Informatics (IITSI). IEEE, 2010. http://dx.doi.org/10.1109/iitsi.2010.138.
Full textReports on the topic "The Magic Formula"
Goryca, Jill E. Force and Moment Plots from Pacejka 2002 Magic Formula Tire Model Coefficients. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada535124.
Full textTanaka, Katsunori, and Shinichi Morita. A Tire Performance Evaluation Method by the Use of Experimental Design and Magic Formula. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0361.
Full text